I'm a passionate Full Stack Software Developer with 1+ years of experience building scalable enterprise applications and AI-powered solutions. Currently pursuing my Master's in Computer Engineering at Northeastern University, I specialize in creating innovative solutions that bridge technology and business needs.

• 🔭 Currently working on AI-powered audit automation platforms and distributed cloud storage solutions
• 🌱 Learning advanced cloud architecture and machine learning techniques
• 💡 Reduced manual search time by 70% with an AI Assistant at Nokia
• 🎯 Reduced deployment failures by 50% through CI/CD automation
• 📫 Reach me at: singh.m1@northeastern.edu

📍 Gurgaon, India | 🗓️ May 2024 – Aug 2025

• Designed an AI-powered internal assistant using Python, REST APIs, and GPT-based NLP to centralize search across 5,000+ internal documents, reducing information retrieval time by 70% for 50+ engineers.
• Implemented automated CI/CD pipelines with monitoring and rollback strategies across 4 engineering teams, reducing deployment failures by 50%.
• Architected an Apache Kafka-based event reprocessing system for network telemetry pipelines to automatically recover schema/validation failures in thousands of JSON packets, cutting error rates to <1%.
• Authored production design documents and drove cross-team technical alignment across 4 engineering teams, reducing incident rates by 30% and shortening release cycles from 2 weeks to 1 week.

Tech Stack: Next.js | TypeScript | PostgreSQL | OpenAI | CDN 🔗 GitHub Repo

Engineered a distributed cloud storage platform supporting authenticated access, lifecycle tracking, and 5GB+ file uploads with document chat for semantic search.

Key Features:

• 🔐 SHA-256 deduplication reducing storage redundancy by 30%
• ⚡ OpenAI-powered metadata tagging improving file search speed by 40%
• 📁 File upload, star, and trash management with CDN caching
• 🗄️ PostgreSQL with full lifecycle tracking

Tech Stack: React | Spring Boot | Python | HuggingFace T5 | Docker | Kubernetes 🔗 GitHub Repo

Production-ready audit automation platform with AI chatbot workflows and compliance automation for audit teams.

Key Features:

• 🤖 HuggingFace T5 models for risk analysis workflows
• ⚡ 70% reduction in manual audit effort through intelligent automation
• 🐳 Containerized microservices with Docker and Kubernetes for auto-scaling
• 🔒 Compliance automation across security standards

Tech Stack: Python | BERT (PyTorch) | TensorFlow | pandas | NumPy 🔗 GitHub Repo

End-to-end ML pipeline to analyze 10,000+ job postings and extract in-demand skills, plus a salary prediction service across 15+ roles.

Key Features:

• 🎯 92% skill extraction accuracy using BERT (PyTorch)
• 💰 87% salary prediction accuracy using TensorFlow on real job market data
• 📈 Analyzed 1500+ job postings for actionable career insights

🏆 Coding Statistics

📊 Performance Metrics

🎯 Beats 96.3% of Users | 📈 999 Submissions | ✅ 86.3% Acceptance Rate

📈 Contribution Graph

const mansi = {
    location: "Seattle, WA",
    education: "MS in Computer Engineering @ Northeastern University",
    currentlyLearning: ["Advanced Cloud Architecture", "Database Systems", "System Design"],
    lookingFor: "Software Engineering Internship opportunities for Summer 2026",
    interests: ["AI/ML", "Cloud Computing", "Full Stack Development", "DevOps"],
    funFact: "I reduced deployment failures by 50% and love automating repetitive tasks!"
};